Mac17,5
Geekbench AI Score
4837
Single Precision Score
8027
Half Precision Score
6417
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | dd1989 |
| Upload Date | March 11 2026 02:55 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,5 |
| Model ID | Mac17,5 |
| Motherboard | Mac17,5 |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | Apple A18 Pro |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2142
398.3 IPS |
|
|
Image Classification (HP)
|
100% |
3467
644.8 IPS |
|
|
Image Classification (Q)
|
96% |
2346
438.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2013
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2867
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3361
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9563
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18284
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15573
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2345
186.0 IPS |
|
|
Object Detection (HP)
|
97% |
3817
303.9 IPS |
|
|
Object Detection (Q)
|
94% |
2713
216.2 IPS |
|
|
Face Detection (SP)
|
100% |
3952
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
7683
91.3 IPS |
|
|
Face Detection (Q)
|
100% |
4278
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8152
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14068
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9732
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23048
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38656
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31312
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5651
208.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7155
264.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5132
189.5 IPS |
|
|
Text Classification (SP)
|
100% |
3721
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6196
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6150
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4651
80.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8644
149.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8641
149.3 IPS |
